
Image Analysis and Processing - ICIAP 2017
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The 138 papers presented were carefully reviewed and selected from 229 submissions. The papers cover both classic and the most recent trends in image processing, computer vision, and pattern recognition, addressing both theoretical and applicative aspects. They are organized in the following topical sections: video analysis and understanding; pattern recognition and machine learning; multiview geometry and 3D computer vision; image analysis, detection and recognition; multimedia; biomedical and assistive technology; information forensics and security; imaging for cultural heritage and archaeology; and imaging solutions for improving the quality of life.
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Content
- Intro
- Preface
- Organization
- Contents - Part I
- Contents - Part II
- Video Analysis and Understanding
- A Rank Aggregation Framework for Video Interestingness Prediction
- 1 Introduction
- 2 Related Work
- 3 Feature Extraction
- 3.1 Histogram of Motion Patterns
- 3.2 Mel-Frequency Cepstral Coefficients
- 4 Ranking Models
- 5 Rank Aggregation Framework
- 5.1 Borda Method
- 5.2 Reciprocal Rank Fusion
- 5.3 Multiplicative Rank Aggregation
- 6 Experiments and Results
- 7 Conclusions
- References
- Graph-Based Hierarchical Video Cosegmentation
- 1 Introduction
- 2 Graph-Based Hierarchical Clustering
- 3 Proposed Method
- 4 Experiments
- 5 Conclusion
- References
- Interest Region Based Motion Magnification
- 1 Introduction
- 2 Related Work
- 3 Interest Region Based Motion Magnification
- 3.1 Object Segmentation
- 3.2 Scribble Drawing and Alpha Matting
- 3.3 Video Magnification
- 3.4 Pipeline
- 4 Experiments and Discussion
- 5 Conclusion
- References
- Investigating the Use of Space-Time Primitives to Understand Human Movements
- 1 Introduction
- 2 Shearlet Theory: An Overview
- 3 Building Dictionaries of Space-Time Primitives
- 4 Experimental Analysis
- 4.1 Dataset and Experimental Protocol
- 4.2 Preliminary Investigation
- 5 Discussion
- References
- Organizing Videos Streams for Clustering and Estimation of Popular Scenes
- 1 Introduction
- 2 Related Works
- 3 RECfusion System Overview
- 3.1 Intraflow Analysis
- 3.2 Interflow Analysis
- 3.3 Cluster Tracking
- 4 Datasets
- 5 Experimental Settings and Results
- 6 Conclusion and Future Works
- References
- 360° Tracking Using a Virtual PTZ Camera
- 1 Introduction
- 2 Related Works
- 2.1 360 Image Representation
- 2.2 PTZ Tracking
- 3 360 Camera Model
- 3.1 Equirectangular Projection
- 3.2 Equirectangular to Virtual Camera Plane Projection
- 4 Tracking Model
- 4.1 Tracking Algorithm
- 5 Results
- 6 Conclusions
- References
- Benchmarking Two Algorithms for People Detection from Top-View Depth Cameras
- 1 Introduction
- 2 Methods Considered for the Benchmarking
- 2.1 WATERFILLING
- 2.2 HOG-SVM
- 3 The Adopted Dataset
- 4 Experimental Analysis
- 4.1 Performance Indices
- 4.2 Training Procedure
- 4.3 Analysis of the Experimental Results
- 5 Conclusions and Future Work
- References
- Gesture Modelling and Recognition by Integrating Declarative Models and Pattern Recognition Algorithms
- 1 Introduction
- 2 Related Work
- 2.1 Vision-Based Gesture Recognition Approaches
- 2.2 Gesture Recognition: The Declarative Modelling Approach
- 3 Combining the Two Approaches with DEICTIC
- 4 Experiments and Preliminary Results
- 5 Conclusions
- References
- How Far Can You Get by Combining Change Detection Algorithms?
- 1 Introduction
- 2 The Proposed Approach
- 3 Experimental Setup
- 4 Results
- 5 Computational Time
- 6 Conclusion
- References
- Robust Tracking of Walking Persons by Elite-Type Particle Filters and RGB-D Images
- 1 Introduction
- 2 Elite-Type Particle Filter
- 2.1 Overall Structure of Tracking Algorithm
- 2.2 Basic Structure of Elite-Type Particle Filter
- 2.3 Likelihoods
- 2.4 Resampling
- 3 Transitional Management of PF States
- 4 Parameter Adjustment
- 5 Experiment
- 5.1 Specifications
- 5.2 Results and Discussion
- 6 Conclusions
- References
- Video Saliency Detection Based on Boolean Map Theory
- 1 Introduction
- 2 Boolean-Map Video Saliency
- 2.1 Boolean Maps Generation
- 2.2 Saliency Computation
- 3 Experimental Results
- 3.1 Experiments
- 3.2 Results
- 4 Conclusion
- References
- A System for Autonomous Landing of a UAV on a Moving Vehicle
- 1 Introduction
- 2 System Architecture
- 2.1 Hardware Architecture
- 2.2 Software Architecture
- 3 Dynamic Target Position Estimation
- 4 Target Detection and Tracking
- 4.1 Acquisition Hardware
- 4.2 Video Analysis
- 5 Basic Landing Strategy
- 6 Results
- 6.1 Simulations
- 6.2 On Field Trials
- 7 Conclusions
- References
- One-Step Time-Dependent Future Video Frame Prediction with a Convolutional Encoder-Decoder Neural Network
- 1 Introduction
- 1.1 Related Work
- 2 Time-Dependent Video Frame Prediction
- 3 Experiments
- 3.1 Experimental Setup
- 3.2 Dataset
- 3.3 Experimental Results
- 3.4 Ambiguities and Downsides
- 4 Conclusion
- References
- Joint Orientations from Skeleton Data for Human Activity Recognition
- 1 Introduction
- 2 State of the Art
- 3 Proposed Approach
- 4 Experiments
- 4.1 Office Activity Dataset (OAD)
- 4.2 Results
- 5 Conclusions
- References
- A Tensor Framework for Data Stream Clustering and Compression
- Abstract
- 1 Introduction
- 2 Architecture of Tensor Stream Clustering and Compression
- 3 Tensor Model Build and Update Scheme for Data Clustering
- 4 Stream Compression on Shot Boundaries
- 5 Experimental Results
- 6 Conclusions
- Acknowledgement
- References
- Convex Polytope Ensembles for Spatio-Temporal Anomaly Detection
- 1 Introduction and Related Work
- 2 Anomaly Detection with Convex Polytopes
- 2.1 Model Building
- 2.2 Anomaly Localization
- 3 Experimental Results
- 4 Conclusion
- References
- Human Action Classification Using an Extended BoW Formalism
- 1 Introduction
- 2 Related Work
- 3 Traditional Bag-of-Words
- 4 An Extended BoW Formalism
- 5 Experimental Analysis
- 5.1 Datasets and Protocols
- 5.2 Experimental Setup
- 5.3 Comparison with the State-of-the-art
- 6 Conclusions and Further Works
- References
- Virtual EMG via Facial Video Analysis
- 1 Introduction
- 2 Method
- 3 Experimental Work
- 4 Discussion and Conclusions
- References
- Pattern Recognition and Machine Learning
- A Compact Kernel Approximation for 3D Action Recognition
- 1 Introduction
- 2 Related Work
- 3 The Proposed Approximated Feature Map
- 4 Results
- 5 Conclusions
- A Proofs of All Theoretical Results
- References
- A Machine Learning Approach for the Online Separation of Handwriting from Freehand Drawing
- 1 Introduction
- 2 Related Work
- 3 The Proposed Method
- 3.1 Pre-processing Stage
- 3.2 Feature Extraction Stage
- 3.3 Machine Learning Stage
- 3.4 Domain Separation Stage
- 4 Experimental Results and Discussion
- 4.1 Dataset
- 4.2 Results
- 5 Conclusions
- References
- Learning to Map Vehicles into Bird's Eye View
- 1 Introduction
- 2 Related Work
- 3 Proposed Dataset
- 4 Model
- 5 Experimental Results
- 6 Conclusions
- References
- Linear Regularized Compression of Deep Convolutional Neural Networks
- 1 Introduction
- 2 Related Works
- 3 Our Approach
- 4 Experimental Results
- 5 Conclusions and Future Works
- References
- Network Edge Entropy from Maxwell-Boltzmann Statistics
- 1 Introduction
- 2 Preliminaries
- 2.1 Von Neumann Entropy
- 3 Network Entropy in Maxwell-Boltzmann Statistics
- 3.1 Thermodynamic Representation
- 3.2 Maxwell-Boltzmann Statistics
- 3.3 Edge Entropy Analysis
- 4 Experiments and Evaluations
- 4.1 Data Sets
- 4.2 Experimental Results
- 5 Conclusion
- References
- Learning from Enhanced Contextual Similarity in Brain Imaging Data for Classification of Schizophrenia
- 1 Introduction
- 2 Learning from Enhanced Contextual Similarity
- 2.1 CS Enhancement Using DML
- 2.2 Learning from Enhanced CS of MR Images Using GT
- 3 Experiments
- 3.1 Dataset and Representation
- 3.2 Experimental Analysis
- 3.3 Experimental Results
- 3.4 Discussion of the Experimental Results
- 4 Conclusion
- References
- 3D Object Detection Method Using LiDAR Information in Multiple Frames
- 1 Introduction
- 2 Proposed Method
- 2.1 2D-Object Detection and 3D-Environment Reconstruction Using LiDAR
- 2.2 Supplementing Information Through Object Matching in Multi Frame
- 3 Experimental Results
- 3.1 Implementation Details
- 3.2 KITTI Detection Accuracy
- 3.3 KITTI Orientation Accuracy
- 4 Conclusion
- References
- Colorizing Infrared Images Through a Triplet Conditional DCGAN Architecture
- 1 Introduction
- 2 Related Work
- 3 Proposed Approach
- 4 Experimental Results
- 5 Conclusions
- References
- Complexity and Accuracy of Hand-Crafted Detection Methods Compared to Convolutional Neural Networks
- 1 Introduction
- 2 Object Detection
- 2.1 Traditional Approaches
- 2.2 Neural Networks
- 2.3 Optimized Aggregated Channel Feature Detection
- 2.4 Convolutional Neural Network Detection
- 3 Experimental Evaluation
- 3.1 Datasets
- 3.2 Metrics for Complexity and Accuracy
- 3.3 Accuracy Results
- 3.4 Complexity Results
- 4 Conclusion and Future Work
- References
- Emotion Recognition Based on Occluded Facial Expressions
- 1 Introduction
- 2 Related Work
- 3 Methodology
- 3.1 Preprocessing
- 3.2 Facial Expression Reconstruction
- 3.3 Facial Feature Extraction
- 3.4 Feature Reduction
- 3.5 Classification
- 4 Results
- 5 Conclusions and Future Work
- References
- Exploiting Context Information for Image Description
- 1 Introduction
- 2 Related Work
- 3 System Architecture
- 3.1 Probabilistic Ontology
- 3.2 Combination Models
- 4 Experimental Assessment
- 4.1 Results and Discussion
- 5 Conclusions and Future Work
- References
- Generating Knowledge-Enriched Image Annotations for Fine-Grained Visual Classification
- 1 Introduction
- 2 Related Work
- 3 Generating Knowledge-Enriched Visual Annotations
- 3.1 The Fruit Ontology
- 3.2 The Annotation Tool
- 3.3 The Fruit Image Dataset
- 4 Comparison to Existing Datasets for Fine-Grained Recognition
- 5 Conclusions
- References
- Histological Image Analysis by Invariant Descriptors
- 1 Introduction
- 2 Texture Descriptors
- 2.1 Image Moments
- 2.2 Co-occurrence Matrices
- 2.3 LBP Descriptors
- 3 Datasets
- 4 Experimental Evaluation
- 5 Conclusions
- References
- Just DIAL: DomaIn Alignment Layers for Unsupervised Domain Adaptation
- 1 Introduction
- 2 Related Work
- 3 DIAL: DomaIn Alignment Layers
- 3.1 Source and Target Predictors
- 3.2 Training and Inference
- 4 Experiments
- 4.1 Experimental Setup
- 4.2 Results
- 5 Conclusions
- References
- Multi-stage Neural Networks with Single-Sided Classifiers for False Positive Reduction and Its Evaluation Using Lung X-Ray CT Images
- 1 Introduction
- 2 Multi-stage Neural Networks with Single-Sided Classifiers
- 3 Experiments
- 3.1 Lung CT Image Data Set
- 3.2 Proposed Multi-stage Classifiers
- 3.3 Baseline Classifiers
- 4 Experimental Results
- 5 Conclusion
- References
- On the Importance of Domain Adaptation in Texture Classification
- 1 Introduction
- 2 Materials and Methods
- 2.1 Databases
- 2.2 Features
- 2.3 Domain Adaptation Classifiers
- 2.4 Experimental Setup
- 3 Results
- 4 Conclusion
- References
- Rotation Invariant Co-occurrence Matrix Features
- 1 Introduction
- 2 Background
- 2.1 Displacement Type
- 2.2 Features Extraction
- 3 Our Approach
- 3.1 Proposed Displacement
- 3.2 Proposed Feature Combination
- 4 Datasets
- 5 Experimental Evaluation
- 6 Conclusion
- References
- Visual and Textual Sentiment Analysis of Brand-Related Social Media Pictures Using Deep Convolutional Neural Networks
- 1 Introduction
- 2 Related Work
- 3 Methods
- 3.1 Visual Feature Extractor
- 3.2 Textual Feature Extractor
- 3.3 Overall Sentiment Classifier
- 3.4 GfK Verein Dataset
- 4 Results and Discussion
- 5 Conclusions
- References
- Deep Multibranch Neural Network for Painting Categorization
- 1 Introduction
- 1.1 Contribution
- 1.2 Prior Works
- 2 Our Approach
- 2.1 Input Preprocessing
- 2.2 Deep Network Structure
- 3 Experiments
- 3.1 Dataset
- 3.2 Training
- 3.3 Results
- 4 Conclusions
- References
- Weighty LBP: A New Selection Strategy of LBP Codes Depending on Their Information Content
- 1 Introduction
- 2 Related Work
- 3 The Proposed LBP Reduction
- 3.1 Entropy to Select Representatives in a Set
- 3.2 Binary Similarity and Distance Measures
- 4 Experimental Results
- 5 Conclusions
- References
- Indoor Actions Classification Through Long Short Term Memory Neural Networks
- 1 Introduction
- 2 Neural Networks for Indoor Activity Classification
- 2.1 MLP Multilayer Perceptron
- 2.2 Deep Neural Networks
- 2.3 LSTM
- 3 Action Detection Through Classification
- 4 Conclusions
- References
- Feature Clustering with Fading Affect Bias: Building Visual Vocabularies on the Fly
- 1 Introduction
- 2 Method Overview
- 3 Parameter Estimation
- 4 Experimental Results
- 5 Conclusions
- References
- HoP: Histogram of Patterns for Human Action Representation
- 1 Introduction
- 2 Related Work
- 3 Representation by Histogram of Frequent Patterns
- 3.1 Codebook of Frequent Patterns
- 3.2 Histogram of Frequent Patterns
- 4 Experimental Results
- 4.1 Results
- 5 Conclusions and Future Work
- References
- Revisiting Human Action Recognition: Personalization vs. Generalization
- 1 Introduction
- 2 Datasets and Feature Encoding
- 3 Evaluation Strategies
- 4 Experimental Results and Discussion
- 4.1 Quantitative Statistical Analysis
- 5 Divide et Impera. Two-Stage Recognition Pipeline
- 6 Conclusions
- References
- Multiview Geometry and 3D Computer Vision
- Efficient Confidence Measures for Embedded Stereo
- 1 Introduction
- 2 Related Work
- 3 Hardware Strategies for Confidence Implementation
- 4 Confidence Measures Suited for Hardware Implementation
- 4.1 Hardware Friendly
- 4.2 Hardware Challenging
- 5 Experimental Results
- 5.1 Evaluation Protocol
- 5.2 Experimental Evaluation on Middlebury 2014 and KITTI 2015
- 6 Conclusions
- References
- 3D Reconstruction from Specialized Wide Field of View Camera System Using Unified Spherical Model
- 1 Introduction
- 1.1 Proposed System
- 2 Methodology
- 2.1 Unified Spherical Camera Model
- 2.2 Camera Calibration Using Zero-Degree Overlapping Constraint
- 2.3 Epipolar Geometry of Omnidirectional Camera
- 3 Experimental Results
- 3.1 Estimation of Intrinsic Parameters
- 3.2 Estimation of Extrinsic Parameters
- 3.3 Estimation the Three Dimensional Registration Error
- 3.4 3D Reconstruction Using the Camera Rig
- 4 Conclusions
- References
- A Matrix Decomposition Perspective on Calibrated Photometric Stereo
- 1 Introduction
- 2 The Geometry of Single-Light Images
- 3 Robust Matrix Completion and Decomposition
- 4 Detecting Shadows
- 5 Evaluation the DiLiGenT Dataset
- 6 Conclusion
- References
- Dynamic 3D Scene Reconstruction and Enhancement
- 1 Introduction
- 2 Related Work
- 3 Dynamic Scene 3D Reconstruction
- 4 Robust Point Cloud Registration
- 4.1 3-Point RANSAC Registration
- 4.2 Robust ICP Registration
- 4.3 Dual-Weighted ICP Registration
- 4.4 Discussions
- 5 3D Reconstruction Enhancement
- 6 Experiments
- 7 Conclusion and Future Work
- References
- Feature Points Densification and Refinement
- 1 Introduction
- 2 Feature Points Densification and Refinement
- 2.1 Initialization
- 2.2 Feature Patches Warp
- 2.3 Feature Densification and Refinement
- 3 Results
- 4 Conclusions
- References
- Fast and Accurate Facial Landmark Localization in Depth Images for In-Car Applications
- 1 Introduction
- 2 Related Work
- 3 Proposed Method
- 3.1 Image Pre-processing
- 3.2 Model Architecture
- 3.3 Training
- 4 Experimental Results
- 4.1 MotorMark Dataset
- 4.2 Quantitative Evaluation
- 5 Conclusions and Future Work
- References
- Emotion Recognition by Body Movement Representation on the Manifold of Symmetric Positive Definite Matrices
- 1 Introduction
- 2 Related Work
- 3 Manifold of Symmetric Positive Definite Matrices
- 4 Representation of Body Movement
- 5 Emotion Classification
- 6 Experiments
- 6.1 Results and Comparative Evaluation
- 7 Conclusions
- References
- Lifting 2D Object Detections to 3D: A Geometric Approach in Multiple Views
- 1 Introduction
- 2 Related Work
- 3 Lifting 2D Bounding Boxes to 3D
- 3.1 Vertex Enumeration Solution
- 3.2 Bounded Computational Geometry Method
- 3.3 Interval Analysis
- 3.4 Interval-Based Triangulation
- 4 Experiments
- 4.1 ACCV Dataset Evaluation
- 4.2 TUW Dataset Evaluation
- 4.3 ScanNet Dataset
- 5 Conclusion
- References
- Image Analysis, Detection and Recognition
- A Computer Vision System for the Automatic Inventory of a Cooler
- 1 Introduction
- 2 The Pipeline
- 2.1 Edge Detection
- 2.2 Shape Detection
- 2.3 Color Classification
- 3 Experimental Results
- 3.1 Random Shelf Configurations
- 3.2 Ordered Shelf Configurations
- 4 Conclusions
- References
- A Convexity Measure for Gray-Scale Images Based on hv-Convexity
- 1 Introduction
- 2 The Proposed Gray-Scale Convexity Measure
- 2.1 Preliminaries
- 2.2 Measure of hv-Convexity for Binary Images
- 2.3 Extension of the Convexity Measure to Gray-Scale Images
- 3 Evaluation and Experiments
- 4 Conclusion
- References
- A Hough Voting Strategy for Registering Historical Aerial Images to Present-Day Satellite Imagery
- 1 Introduction
- 2 Related Work
- 3 Methodology
- 3.1 Hough Voting from Corresponding Local Interest Point Geometry
- 3.2 Combination of Votes from Local and Global Features
- 3.3 Correspondence Zoning
- 3.4 Implementation Details
- 4 Experiments
- 5 Conclusions
- References
- Automatic Detection of Subretinal Fluid and Cyst in Retinal Images
- 1 Introduction
- 2 Methods
- 2.1 Literature Procedures
- 2.2 Proposed Method
- 3 Evaluation
- 3.1 Image Data
- 3.2 Results and Discussion
- 4 Conclusion
- References
- Computer Aided Diagnosis of Pleural Effusion in Tuberculosis Chest Radiographs
- 1 Introduction
- 2 Method
- 2.1 Lung Segmentation
- 2.2 Features
- 2.3 Classification
- 3 Data
- 4 Results
- 5 Conclusion
- References
- Design of a Classification Strategy for Light Microscopy Images of the Human Liver
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 Steatosis Characterization
- 2.2 Feature Extraction for Non-steatosis Aspect
- 2.3 Feature Analysis and Principal Component Analysis
- 2.4 Binary Classifier Training
- 3 Numerical Results and Discussion
- 4 Conclusions and Future Developments
- References
- Improving Face Recognition in Low Quality Video Sequences: Single Frame vs Multi-frame Super-Resolution
- 1 Introduction
- 2 Related Work
- 3 System Architecture
- 3.1 Super-Resolution Algorithm
- 3.2 Feature Extraction and Matching Scheme
- 4 Experimental Assessment
- 4.1 Description of Experiments
- 4.2 Results
- 5 Conclusions
- References
- Learning to Weight Color and Depth for RGB-D Visual Search
- 1 Introduction
- 2 Previous Work
- 3 Visual Search Architecture
- 4 The kNN-rank Approach
- 5 The HyperRGBD Framework
- 6 Experimental Evaluation
- 6.1 Results
- 7 Final Remarks
- References
- Mine Detection Based on Adaboost and Polynomial Image Decomposition
- 1 Introduction
- 2 Related Work
- 3 Adaboost Based Polynomial Image Decomposition
- 3.1 Complete Basis
- 3.2 Polynomial Image Decomposition (PID)
- 3.3 Adaboost Based PID
- 4 Experimental Result and Analysis
- 4.1 Parameters Setting
- 4.2 Mine Detection
- 4.3 Results
- 5 Conclusion
- References
- Perceptual-Based Color Quantization
- 1 Introduction
- 2 The Proposed CQ Model
- 2.1 Representative Color Selection
- 2.2 Estimation of the Least Allowed Bin Size
- 2.3 PCQ Algorithm
- 3 Experimental Results and Concluding Remarks
- References
- Product Recognition in Store Shelves as a Sub-Graph Isomorphism Problem
- 1 Introduction
- 2 Related Work
- 3 Proposed Pipeline
- 3.1 Unconstrained Product Recognition
- 3.2 Graph-Based Consistency Check
- 3.3 Product Verification
- 4 Experimental Results
- 5 Conclusion and Future Work
- References
- Real-Time Incremental and Geo-Referenced Mosaicking by Small-Scale UAVs
- 1 Introduction
- 2 Related Work
- 3 The Mosaicking Algorithm
- 3.1 Background
- 3.2 Frame Selection and Correction
- 3.3 Feature Extraction and Matching
- 3.4 Transformation and Perspective Computation
- 3.5 Stitching and GPS Association
- 4 Experimental Results and Discussion
- 4.1 Low-Altitude and High-Altitude Mosaicking
- 4.2 Mosaicking Performance
- 5 Conclusions
- References
- Automatic Multi-seed Detection for MR Breast Image Segmentation
- 1 Introduction
- 2 Related Works
- 3 Materials
- 3.1 Gold Standard
- 4 Methods
- 4.1 Pre-processing
- 4.2 Processing
- 4.3 Segmentation
- 5 Results and Discussion
- 6 Conclusions
- References
- Efficient Image Segmentation in Graphs with Localized Curvilinear Features
- 1 Introduction
- 2 Background
- 2.1 Live Wire (LW)
- 2.2 Oriented Image Foresting Transform (OIFT)
- 3 OIFT with Localized Curvilinear Features (OIFT-LCF)
- 4 Experimental Results
- 5 Conclusions
- References
- Historical Handwritten Text Images Word Spotting Through Sliding Window HOG Features
- 1 Introduction
- 2 Related Work
- 3 Proposed Word Spotting Method
- 3.1 Word Image Pre-processing
- 3.2 Feature Extraction and Word Matching
- 4 Dataset
- 5 Experimental Results
- 6 Conclusions
- References
- Incremental Support Vector Machine for Self-updating Fingerprint Presentation Attack Detection Systems
- 1 Introduction
- 2 The Proposed Method
- 2.1 Incremental SVM for Fingerprint Presentation Attacks Detection
- 2.2 Prior Work
- 3 Experimental Results
- 3.1 Dataset
- 3.2 Experimental Protocol
- 3.3 Results
- 4 Conclusions
- References
- Tampering Detection and Localization in Images from Social Networks: A CBIR Approach
- 1 Introduction
- 2 Related Work
- 3 Proposed Method
- 3.1 Content-Based Image Retrieval System
- 3.2 Tampering Localization
- 4 Experiments
- 4.1 Datasets
- 4.2 CBIR System
- 4.3 Tampering Localization
- 5 Conclusion
- References
- Author Index
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